CIS 588: Neural Computing - fall

Fundamentals of artificial neural networks including application needs for neural networks, discussing the various architectures, learning algorithms and examples of applications. The standard neural networks are discussed in greater details, which allows for branching of architectures and combining of strategies for growing and/or constructing neural networks.

Class#SctTypeSeatsUnits
14408 01 Lecture 25 3.00
Days Start End Location
MON TUE WED THU FRI SAT 12:00 PM EDT 12:50 PM EDT Dion 303
Instructor: Class status:
Enrollment Section
Class instruction mode: In Person